• Leverage data from waveform sensors to enhance operations and improve data precision
• System enhancements to real-time user interfaces
• Developing and enhancing approaches for waveform lidar data analysis
• Calibrate/validate air and spaceborne sensor data
• Troubleshoot data processing and quality issues
Requirements
- Bachelor's degree (B.S.) in a Physical Science discipline
- 1 to 2 years of relevant experience in scientific programming
- Proficiency in scientific programming languages such as Python, IDL, MATLAB, or similar tools
- Experience with signal processing for space or earth science applications
- Experience developing data visualizations to communicate results to scientific audiences
- Familiarity with airborne remote sensing instruments, field campaign data, or multi-sensor data integration
- Enthusiasm for interdisciplinary, team-oriented research
- US Permanent Residency or US Citizenship required.
Core Competencies
Demonstrates expertise in scientific programming and data analysis, particularly with waveform lidar data and sensor calibration. Proficient in developing data visualizations and troubleshooting data quality issues in interdisciplinary research settings.
Highest-signal resume keywords
- Scientific Programming
- Python Programming
- Signal Processing
- Data Visualization
- Airborne Remote Sensing
ATS Optimization Keywords
Hard Skills
- Scientific Programming
- Python
- IDL
- MATLAB
- Signal Processing
- Data Analysis
- Data Calibration
- Data Validation
- Data Troubleshooting
- Waveform Lidar
Soft Skills
- Team-Oriented
- Interdisciplinary Collaboration
Industry Keywords
- Physical Science
- Airborne Remote Sensing Instruments
- Field Campaign Data
- Multi-Sensor Data Integration
- Earth Science Applications